# DataVis2012/Schedule

### From VisTrailsWiki

## 1/23: Introduction to visualization

Lecturer: Claudio

Topics: Scientific Visualization

Notes: lec01-notes.pdf

Slides: TBA

Animations: NCSA storm animation

Further reading:

Visualization by Tamara Munzner (see PDF on her page)

(Optional reading) Provenance for Computational Tasks: A Survey

(Optional reading) Provenance for Visualizations: Reproducibility and Beyond, C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, 2008.

## 1/30: The visualization pipeline

Lecturer: Huy Vo

Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.

Notes: lec02-notes.pdf

Slides: dataflow.pdf

Further reading:

## 2/6: Modeling Data for Visualization

Lecturer: Claudio Silva

Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields; Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms

Topics (here???): Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem)

Notes: modeling data

Slides: processing.ppt

Further reading:

Surface Simplification Using Quadric Error Metrics

(Optional Reading) A Memory Insensitive Technique for Large Model Simplification

(Optional Reading) Quadric-based Simplification in any Dimension

http://en.wikipedia.org/wiki/Least_squares

(Optional Reading) Robust Moving Least-squares Fitting with Sharp Features

(Optional Reading) Optimal Bandwidth Selection for MLS Surfaces

## 2/13: Plotting

Lecturer: Claudio

Topics: Simple Plotting Methods: Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others. Advanced Plotting Methods: Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.

Notes: PlottingNotes.pdf

Slides: Plotting1.pdf and Plotting2.pdf

Vistrails: PlottingVistrails.zip - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory).

Further Reading:

- The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.

- Visualizing Data. William S. Cleveland, Hobart Press, 1993.

- The Visual Display of Quantitative Information. Edward R. Tufte, Graphics Press, 2001.

- Visual Explanations: Images and Quantities, Evidence and Narrative. Edward R. Tufte, Graphics Press, 2997.

## 2/20: NO CLASS (President's Day)

## 2/27: Color and Human Perception

Lecturer: Huy Vo

Topics: Human vision system; Optical illusions; Color Science; Color spaces; Color Blindness; Color maps;

Notes:

Slides: human-vision.pdf colorvision-jens.pdf

Links:

- How NOT to Lie with Visualization, Bernice E. Rogowitz, Lloyd A. Treinish, IBM Research.

- Color Theory, ColorSpaces, Marc Levoy, Stanford Graphics Lab.

## 3/5 2D Visualization Techniques

Lecturer: Lauro

Topics: 2-D scalar fields: Color mapping; height fields; 2-D contours, marching tris, marching quads; 2-D vector fields: div, grad, curl in 2D; Glyphs; Steady vs Unsteady flows; 2-D streamlines, streaklines, pathlines

Slides: 2D Scalar Fields (pdf file); 2d Vector Fields (pdf file)

Notes: 2d Scalar Fields (pdf file)

Vistrails: zip file with ozone.vt and data asymptotic decider in 2d heightfields

Note: These vistrails use relative file paths so you don't need to change each of them individually to match your directory structure. Simply unzip the file to whichever location is more convenient. Then, inside VisTrails, open the VisTrails shell, type:

import os os.chdir("c:/directory/where/you/unzipped/it")

This will change the directory so you should be able to just run the pipelines.

Further reading:

BubbleSets (technique that uses 2d countours) (video)

http://ieeexplore.ieee.org/iel5/4271943/4271944/04272091.pdf

http://www.jstor.org/stable/pdfplus/2683294.pdf

An Efﬁcient Naturalness-Preserving Image-Recoloring Method for Dichromats

## 3/12 NO CLASS (Spring Break)

## 3/19 Volume Visualization

Lecturer: Claudio

Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp; Unstructured grid techniques; Transfer function specification

Slides: VolumeRendering1.pdf, VolumeRendering2.pdf, and unstructured_grid_rendering.pdf

Notes: dvr.pdf

Vistrails: VolumeRenderingVistrails.zip

References:

Optical Models for Direct Volume Rendering

Display of Surfaces from Volume Data - Ray casting paper

Interactive Volume Rendering - Splatting paper, paper requires ACM digital library access

Accelerated volume rendering and tomographic reconstruction using texture mapping hardware - Texture slicing paper, requires ACM digital library access

Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation - Shear-warp paper

A Survey of GPU-Based Volume Rendering of Unstructured Grid

Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkHAVSVolumeMapper.html)

ZSWEEP: An Efficient and Exact Projection Algorithm for Unstructured Volume Rendering (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkUnstructuredGridVolumeZSweepMapper.html)

## 3/26 Volume Visualization

Lecturer: Tiago

Topics: Slicing; Contours; Marching algorithms; Accelerating structures; High-quality contours

Slides: Slides

References:

Marching cubes: A high resolution 3D surface construction algorithm

The asymptotic decider: resolving the ambiguity in marching cubes

Marching Cubes without skinny triangles

A Near Optimal Isosurface Extraction Algorithm Using the Span Space

## 4/2 Midterm

## 4/9 Vector & Tensor Visualization

Lecturer:

Topics: DT/MRI intro, glyphs, colormapping, volume rendering; 3D techniques, critical points

Slides:

References:

## 4/16: Information Visualization

Lecturer: Lauro

Topics: Definition; Historical Highlights Power of Visualization (Examples); Idea of Visual Channels and mapping Data Types to Visual Channels; Interaction Principles (Schneiderman's Mantra); Data Reduction (Overviews and Aggregation, Filtering and Navigation, Focus+Context, Dimensionality Reduction); Multiple Views; Brushing and Linking; Overview of Infovis Techniques: Scatterplot Matrix, Star Plots, Parallel coordinates, Chernoff Faces, Tree Maps, Tree Visualization, Graph visualization (NodeTrix)

Slides: Slides

Links:

Map of the Market: Tree Map of Stock Market

Interactive Tree of Life: Radial Phylogenetic Tree

Disk Inventory X: Tree Map Disk Utility for Mac

Sequoia View: Tree Map Disk Utility for Windows

Graphviz: Graph layout project

## 4/23: Information Visualization

Lecturer:

Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples

Slides:

Links:

## 5/7: Information Visualization

Lecturer:

Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples

Slides:

Links: